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Classification Experiments

Dataset Preparation

ImageNet-LT
  • Download ImageNet Full dataset
  • ImageNet-LT list and frequency file:
# train/val/test split
https://drive.google.com/drive/folders/1j7Nkfe6ZhzKFXePHdsseeeGI877Xu1yf

# Frequency File
wget https://github.com/Megvii-BaseDetection/DisAlign/releases/download/LVIS/imagenet_lt_category_frequency.json
  • Put the data as following:
cvpods/datasets/imagenetlt
├── imagenet_lt_category_frequency.json
├── ImageNet_LT_test.txt
├── ImageNet_LT_train.txt
├── ImageNet_LT_val.txt
├── train/
└── val/
iNaturalist2018
Places-LT

Model Zoo

ImageNet-LT

Name Cls Norm Input Size Epoch Top-1 Acc(Test) Top-5 Acc(Test) Trained Model
ResNet-50 224 90 LINK(TODO)
ResNet-50 Cosine 224 90 LINK(TODO)
ResNeXt-50 224 90 46.918 73.088 LINK
ResNeXt-50 Cosine 224 90 LINK(TODO)
ResNet-50+DisAlign 224 90 LINK(TODO)
ResNet-50+DisAlign Cosine 224 90 LINK(TODO)
ResNeXt-50+DisAlign 224 90 52.438 77.068 LINK
ResNeXt-50+DisAlign Cosine 224 90 LINK(TODO)